Next Article in Journal
Isotope-Labeled RNA Building Blocks for NMR Structure and Dynamics Studies
Next Article in Special Issue
Autofluorescence-Based Investigation of Spatial Distribution of Phenolic Compounds in Soybeans Using Confocal Laser Microscopy and a High-Resolution Mass Spectrometric Approach
Previous Article in Journal
A Novel Family of [1,4]Thiazino[2,3,4-ij]quinolin-4-ium Derivatives: Regioselective Synthesis Based on Unsaturated Heteroatom and Heterocyclic Compounds and Antibacterial Activity
Previous Article in Special Issue
LC-MS/MS Screening of Phenolic Compounds in Wild and Cultivated Grapes Vitis amurensis Rupr.
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Phytochemical Analysis of Phenolics, Sterols, and Terpenes in Colored Wheat Grains by Liquid Chromatography with Tandem Mass Spectrometry

by
Mayya P. Razgonova
1,*,
Alexander M. Zakharenko
1,
Elena I. Gordeeva
1,2,
Olesya Yu. Shoeva
1,2,*,
Elena V. Antonova
1,3,
Konstantin S. Pikula
1,
Liudmila A. Koval
4,
Elena K. Khlestkina
1,2,* and
Kirill S. Golokhvast
1,4,5,6,*
1
N.I. Vavilov All-Russian Institute of Plant Genetic Resources, B. Morskaya 42-44, 190000 Saint Petersburg, Russia
2
Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Lavrentjeva 10, 630090 Novosibirsk, Russia
3
Institute of Plant and Animal Ecology, Ural Branch of Russian Academy of Sciences, 8 Marta 202, 620144 Ekaterinburg, Russia
4
School of Biomedicine, Far Eastern Federal University, Sukhanova 8, 690950 Vladivostok, Russia
5
Pacific Geographical Institute, Far Eastern Branch of the Russian Academy of Sciences, Radio 7, 690041 Vladivostok, Russia
6
Siberian Federal Scientific Centre of Agrobiotechnology, Centralnaya, Presidium, 633501 Krasnoobsk, Russia
*
Authors to whom correspondence should be addressed.
Molecules 2021, 26(18), 5580; https://doi.org/10.3390/molecules26185580
Submission received: 15 August 2021 / Revised: 6 September 2021 / Accepted: 7 September 2021 / Published: 14 September 2021
(This article belongs to the Special Issue Biochemical Role of Pigments in the Plant Life)

Abstract

:
The colored grain of wheat (Triticum aestivum L.) contains a large number of polyphenolic compounds that are biologically active ingredients. The purpose of this work was a comparative metabolomic study of extracts from anthocyaninless (control), blue, and deep purple (referred to here as black) grains of seven genetically related wheat lines developed for the grain anthocyanin pigmentation trait. To identify target analytes in ethanol extracts, high-performance liquid chromatography was used in combination with Bruker Daltonics ion trap mass spectrometry. The results showed the presence of 125 biologically active compounds of a phenolic (85) and nonphenolic (40) nature in the grains of T. aestivum (seven lines). Among them, a number of phenolic compounds affiliated with anthocyanins, coumarins, dihydrochalcones, flavan-3-ols, flavanone, flavones, flavonols, hydroxybenzoic acids, hydroxycinnamic acids, isoflavone, lignans, other phenolic acids, stilbenes, and nonphenolic compounds affiliated with alkaloids, carboxylic acids, carotenoids, diterpenoids, essential amino acids, triterpenoids, sterols, nonessential amino acids, phytohormones, purines, and thromboxane receptor antagonists were found in T. aestivum grains for the first time. A comparative analysis of the diversity of the compounds revealed that the lines do not differ from each other in the proportion of phenolic (53.3% to 70.3% of the total number of identified compounds) and nonphenolic compounds (46.7% to 29.7%), but diversity of the compounds was significantly lower in grains of the control line. Even though the lines are genetically closely related and possess similar chemical profiles, some line-specific individual compounds were identified that constitute unique chemical fingerprints and allow to distinguish each line from the six others. Finally, the influence of the genotype on the chemical profiles of the wheat grains is discussed.

1. Introduction

Among nutritional sources of antioxidant compounds necessary for human health, cereal products, which contain flavonoid pigments (plant compounds of a phenolic nature), are now receiving increasing attention [1]. The biosynthesis of various colored flavonoid compounds in certain grain components of cereal plants gives rise to a distinct color (Figure 1). As a result of the biosynthesis of anthocyanins, cereal seeds can have a color of various shades from bluish gray and reddish to dark purple and almost black. Other classes of flavonoid compounds give the grain a reddish-brown color (proanthocyanidins) or a dark-brown color (phlobaphenes). Anthocyanins have the highest antioxidant potential among the above-mentioned compounds [2]. These substances can accumulate in vegetative and reproductive parts of the plant, where their main physiological role is to protect the plant from excessive UV radiation. Additionally, the concentration of anthocyanins usually increases during exposure to adverse environmental factors [3].
Anthocyanins have been shown to play an important part in the prevention of neurodegenerative diseases [4], atherosclerosis, diabetes, and obesity and to have vasoprotective and anti-inflammatory properties [5,6]. As a consequence, the food industry is interested in researching colored cereals.
In the most common cereal species, soft wheat (Triticum aestivum L.), the grain can have either an unremarkable color or a reddish-brown, bluish-gray, or purple hue. The differences in color are due to the accumulation of certain flavonoid pigments in various layers of wheat grain envelopes [7,8,9]. The biosynthesis of proanthocyanidins in the seed coat causes a reddish-brown hue (trait: “red grain”) and is controlled by R genes localized on chromosomes of homoeologous group 3 [10]. The bluish-gray hue appears to be due to the biosynthesis of anthocyanins in the aleurone layer (trait: “blue aleurone”) and is regulated by Ba genes introduced into the common wheat genome from wild relatives such as wheatgrass Thinopyrum ponticum, Triticum boeoticum, and Thinopyrum bessarabicum owing to translocations in the chromosomes of homoeologous group 4 or via a substitution of one of the chromosomes of homoeologous group 4 [11,12,13]. The purple color is a consequence of the biosynthesis of anthocyanins in cells of the pericarp (trait: “purple pericarp”). This trait is regulated by two complementary genes, Pp-1 and Pp3, mapped to chromosomes of homoeologous group 7 and chromosome 2A, respectively [8,14,15]. The inclusion of the genes that control the biosynthesis of anthocyanins in the grain into the breeding process may ultimately increase nutritional value of whole-grain products [1,16]. This notion has been demonstrated in end-use bakery products prepared from anthocyanin-rich wheat grains such as whole-grain bread [17,18], biscuits [16,19], pasta [20], pancakes, porridge, crackers, and candy bars [21]. The amount of anthocyanins in whole-grain blue-wheat bread and purple-wheat bread made according to a traditional Czech recipe has been determined, and how thermal parameters, such as temperature and baking time, affect individual anthocyanins and the total amount of anthocyanins in bread has been shown [18].
The predominant anthocyanin in purple and blue wheat varieties is cyanidin-3-glycoside, and each wheat variety is reported to have a specific anthocyanin profile [22]. Thirteen anthocyanins have been identified in purple wheat, among which cyanidin-3-glucoside is the most abundant, followed by cyanidin-3-galactoside and malvidin-3-glucoside. In purple wheat, anthocyanins are also present in the form of pelargonidin-3-glucoside and anthocyanins glycosylated with arabinose [23]. Besides anthocyanins, other bioactive phytochemicals such as phenolic acids, carotenoids, tocopherols, and phytosterols can be found in the wheat grain [24], and determination of their profiles in colored wheat grains will allow to take full practical advantage of colored wheat varieties. Therefore, the aim of this study was to identify anthocyanins and the total polyphenolic profile along with accompanying sterols and stilbenes in seven wheat lines having grains of different colors by high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometry (MS/MS) on an ion trap instrument. The lines have been previously developed for the grain anthocyanin pigmentation trait in a common genetic background of anthocyaninless cultivar Saratovskaya 29 (S29) (four lines) used here as a control and in the genetic background of the breeding lines promising in terms of cultivation in Western Siberia (two lines). Two blue-grained lines—S29 BLUE (4Th-4B) and S29 BLUE (4Th-4D)—are substitution lines where chromosomes 4B and 4D are substituted with Th. ponticum chromosome 4Th carrying the Ba gene determining the blue pigmentation of grains [25,26]. Two deep-purple-grained, i.e., almost black-grained lines—S29 BLACK (4Th-4B) and S29 BLACK (4Th-4D)—in addition to chromosomes 4B and 4D substituted with 4Th, feature introgressions in chromosomes 7D and 2A, where the dominant alleles of genes Pp-D1 and Pp3, respectively, are located [25]. Two other black-grained lines—BW BLACK (4Th-4D) and E22 BLACK (4Th-4D)—were developed in the genetic background of breeding line BW49880 (BW) and cv. Element 22 (E22), respectively, by means of S29 sister lines as donors of genes Pp and Ba in the current study. The use of such genetically related lines in a metabolomic study should enable us to draw conclusions about the effects of chromosome substitutions and introgression fragments on the chemical profile of the grains. To our knowledge, this is the first extensive study on anthocyanins and related polyphenols in unpigmented, blue-grained, and purple-grained wheat lines.

2. Results

2.1. Chemical Identification of the Wheat Grain Metabolites

A total of 300 peaks were detected in the chromatogram (Figure 2). After a comparison of the m/z values, retention times, and the fragmentation patterns with the MS/MS spectral data retrieved from the cited articles and after a database search (MS2T, MassBank, HMDB), a comprehensive table was compiled of the molecular masses of the analytes of interest isolated from ethanolic extracts of T. aestivum grains for ease of annotation (Appendix A). The 125 identified biologically active compounds are presented in Table 1. Among them, 85 compounds belong to various polyphenolic families: anthocyanins, flavones, flavonols, flavan-3-ols, flavanones, hydroxycinnamic acids, hydroxybenzoic acids, stilbenes, and coumarins, and the other 40 compounds are nonphenolic substances. In addition to previously reported metabolites, a number of metabolites were found for the first time in T. aestivum grains. Among them, there were anthocyanins (cyanidin 3-(2″-galloylglucoside) and petunidin), coumarins (fraxetin and fraxetin-7-O-sulfate), dihydrochalcones (phlorizin), flavan-3-ols (epicatechin and gallocatechin), flavanone (naringenin), flavones (acacetin C-glucoside methylmalonylated, apigenin, apigenin 6-C-deoxyhexoside-8-C-pentoside, dihydroxy tetramethoxyflavanone, cirsiliol, genistein C-glucosylglucoside, hydroxy dimethoxyflavone hexoside, myricetin, orientin 7-O-deoxyhexoside, pentahydroxy dimethoxyflavone, pentahydroxy dimethoxyflavone hexoside, pentahydroxy trimethoxy flavone, tetrahydroxy-dimethoxyflavone-hexoside, trihydroxy methoxyflavone triacetate, and vitexin 6″-O-glucoside), flavonols (ampelopsin, isorhamnetin, kaempferide, kaempferol, rhamnetin I, rhamnetin II, taxifolin-3-O-glucoside, and taxifolin-O-pentoside), hydroxybenzoic acids (cis-salvianolic acid J, gallic acid hexoside, hydroxy methoxy dimethylbenzoic acid, salvianolic acid D, salvianolic acid F, and salvianolic acid G), hydroxycinnamic acids (1-caffeoyl-β-d-glucose, 1-O-Sinapoyl-β-d-glucose, caffeic acid derivative, caftaric acid, and ferulic acid methyl ester), isoflavone (wighteone-O-glucoside), lignans (dimethyl-secoisolariciresinol, podophyllotoxin), other phenolic acids (1-O-caffeoyl-5-O-feruloylquinic acid, 4-O-Caffeoyl-5-O-p-coumaroylquinic acid, and feruloyl sulfate), stilbenes (pinosylvin, polydatin, and resveratrol), alkaloids (berberine and sespendole), carboxylic acids (9,10-dihydroxy-8-oxooctadec-12-enoic acid, 11-hydroperoxy-octadecatrienoic acid, dihydroxy docosanoic acid, docosenoic acid, myristoleic acid, pentacosenoic acid, salvianic acid C, and undecanedioic acid), carotenoids (cryptoxanthin and (3S, 3′S, all-E)-zeaxanthin), diterpenoids (isocryptotanshinone II and tanshinone IIB), essential amino acids (l-histidine, l-tryptophan, and l-valine), triterpenoids (β-amyrin, squalene, uvaol, and ursolic acid), sterols (avenasterol, brassicasterol, β-sitostenone, β-sitosterin, campestenone, ergosterol, fucosterol, oxo-hydroxy sitosterol, vebonol), steroids (cyclopassifloic acid glucoside), nonessential amino acids (tyrosine), phytohormone (GA8-hexose gibberellin), propionic acid (ketoprofen), purine (adenosine), and thromboxane receptor antagonist (vapiprost).
The flavone family featured the greatest number of members (32 substances) among the analyzed wheat grains; the flavonol family (10), anthocyanins (10), cinnamic acids (seven), lignin (five), and hydroxybenzoic acids (six) were found much less frequently. Among other identified compounds, i.e., nonphenolic substances, sterols (six compounds), higher-molecular-weight carboxylic acids (seven), and di- and triterpenoids (eight) were detected most often.

2.2. Similarities and Differences in Metabolites among the Lines

According to Table 1 and Figure 3, the largest number of biologically active compounds (55) was found in lines S29 BLUE (4Th-4B) and S29 BLACK (4Th-4D), and the smallest (18) in the control line (differences of S29 from all the other lines are significant according to a two-sided test for proportions [Spearman’s rank correlation analysis], p = 0.00001–0.0177). Similar data were obtained for the polyphenol family: the largest (33 and 36) and smallest (12) numbers of such compounds were detected in the same lines as mentioned above. Phenolic compounds were found more often than nonphenolic compounds (p = 0.00001–0.0016) in all studied lines except for S29 BLUE (4Th-4D). In this line, the two classes of compounds showed almost equal numbers of members (p = 0.3428). Overall, in terms of the numbers of substances of a phenolic nature (53.3–70.3% of the total number of identified compounds) and a nonphenolic nature (46.7–29.7%) the studied lines were similar.
The results of cluster analysis of all the compounds (Figure 4) showed that two clusters can be distinguished in the dendrogram. The first cluster is formed by lines S29 BLACK (4Th-4B) and S29 BLUE (4Th-4D) and the adjacent S29 BLUE (4Th-4B) line. The second cluster consists of the control line S29 and of E22 BLACK (4Th-4D). Lines BW BLACK (4Th-4D) and S29 BLACK (4Th-4D) did not end up in any clusters. Analysis of Spearman’s rank correlations confirmed the results of the cluster analysis. It was found that pairs of isogenic lines “S29 BLUE (4Th-4B)/S29 BLUE (4Th-4D)” and “S29 BLUE (4Th-4B)/S29 BLACK (4Th-4B)” (located in one cluster) are close to each other (RS = 0.346–0.409, p < 0.05). Similar results were obtained on the second cluster in the “S29/E22 BLACK (4Th-4D)” pair (RS = 0.333, p < 0.05). In addition, statistically significant correlation coefficients (RS = 0.243–0.287, p < 0.05) were obtained in the comparison of the pair of lines with a substituted 4D chromosome “S29 BLUE (4Th-4D)/E22 BLACK (4Th-4D)” and a pair of lines with the black seed color “S29 BLACK (4Th-4B)/E22 BLACK (4Th-4D)”.
Plotting of dendrograms separately for phenolic and nonphenolic families of substances indicated that nonphenolic compounds differentiate lines by grain color (Figure S1). Even clearer separation by grain color was noted when the lignin family of compounds was utilized for the tree construction. Similar data were obtained on anthocyanins, flavones, and terpenoids. Unambiguous separation by substituted chromosomes was not achieved by means of any one family of substances. In some cases (e.g., for sterols and flavonols), one cluster was distinguished on the basis of the seed color, and the other cluster on the basis of chromosome substitution (Figure S1).
Examination of the chemical composition of wheat grains by the families of compounds within the phenolic and nonphenolic classes revealed that the lower number of biologically active substances detected in the control line can be explained by the absence of seven families of phenolic substances: coumarins, flavan-3-ols, flavanones, flavonols, phenolic acids, dihydrochalcone, and stilbenes. Flavonols were found in all the lines except for the control (S29). Furthermore, in S29, the number of substances belonging to the most numerous (in this study) “flavones” was 1.4–3.2-fold lower as compared to the other lines. The lower number of nonphenolic substances detected in the control line can be explained by the absence of the following families: alkaloids, anabolic steroids, carboxylic acids, carotenoids, cycloartanols, di- and triterpenoids, propionic acids, purines, sesquiterpenoid plant hormones, thromboxane receptor antagonists, and unsaturated fatty acids. Accordingly, the colored-grain lines showed a 3–6-fold greater number of substances in the carboxylic acid family, 2–3-fold in the sterol family, 2–4-fold in the anthocyanin family, and 1.5–2.7-fold in the flavone family as compared to the unpigmented-grain control (S29). It should also be noted that among the phenolic compounds, selgin (from the flavonol family) and abscisic acid [dormin; abscisin II; (S)−(+)-abscisic acid] from the class of nonphenolic compounds (sesquiterpenoid plant hormone family) were found only in lines with a substitution of chromosome 4B. A number of compounds (peonidin-3-O-glucoside, caffeic acid derivative, apigenin, isorhamnetin, kaempferol, rhamnetin II, taxifolin-O-pentoside, salvianolic acid G, undecanedioic acid, cyclopassifloic acid glucoside, sespendole, berberine, and β-sitostenone) were found only in some lines with a substituted 4D chromosome (Table S1, 13 substances in total). In addition, some detected substances proved to be characteristic of only wheat with blue grains (malvidin 3-O-rutinoside-5-O-glucoside, petunidin 3-O-rutinoside-5-O-glucoside, apigenin 2″-O-sinapoyl, C-hexosyl, C-pentosyl, vicenin-2, isocryptotanshinone II, and vapiprost) or black grains (isorhamnetin and taxifolin-O-pentoside). The latter case includes only the lines with a substitution of chromosome 4D.
Among the 125 compounds identified in this study in wheat grains, 58 substances turned out to be unique, that is, each was detectable in only one of the seven analyzed lines. The lowest number of unique compounds (three and four) was found in lines S29 BLACK (4Th-4B) and S29, respectively, and the highest number (17 and 15) in S29 BLACK (4Th-4D) and BW BLACK (4Th-4D). The rest of the lines were somewhere in between. These data are in good agreement with the contribution of the unique compounds to the total pool of detected substances (Figure 5). It is worth mentioning that the difference between the proportions estimated by ratios—(1) the number of unique substances in a line to the sum of unique substances for all wheat lines under study and (2) the number of unique substances in a line to the total number of biologically active substances in this line—was 3.2-fold in the control line S29: the largest difference among the seven lines (Figure 5). In all the studied lines, the contribution of phenolic compounds to the pool of unique substances was predominant (60.0–88.2%).
Effects of various factors on the compounds’ diversity in the seven lines were analyzed by one-way ANOVA on ranks (Table 2). It was found that factors “Chromosome Substitution“, “Grain Color“, and “Genotype of Line” affect the diversity of the chemical compounds, but “Genotype of Parental Line/Cultivar” does not. A multiple pairwise comparison of proportions of compounds (in the total number of compounds) in the groups of the lines having substituted chromosomes 4B and 4D did not uncover any differences between the lines (p = 0.688, Duncan test). No such differences were revealed in the groups of lines with blue and black colors of grains (p = 0.229, Duncan test). Nonetheless, an effect of an interaction of two factors “Chromosome Substitution × Grain Color” on the diversity of compounds was detected (Figure 6A). In the group of the lines with substituted chromosome 4D, there were no differences between the blue- and black-grained lines (p = 0.807, Duncan test), whereas in the group of the lines with substituted chromosome 4B, such differences between the blue- and black-grained lines were found (p = 0.0023, Duncan test), with significantly lower diversity of the compounds in the latter group. In the group of blue-grained lines, lower diversity of the compounds was observed in the lines with substituted chromosome 4D, while in the black-grained lines, the effect of chromosome substitutions was opposite: higher diversity (Figure 6B).

3. Discussion

Successful extraction of polyphenolic compounds depends on two sequential actions: dissolution of each polyphenolic compound at the cellular level in the matrix of plant material and its diffusion into the external medium (the solvent). This is why it is difficult to develop an extraction procedure suitable for all phenolic compounds. For the extraction of phenolic compounds, various organic solvents are commonly used, such as methanol, ethanol, acetone, ethyl acetate, or combinations thereof, often with different proportions of water. Additionally, an important factor directly affecting the solubility and extraction of these compounds is pH of the extraction medium, which determines the solubility of the soluble compounds and affects the possible solubilization of the hydrolyzable fraction.
Liquid chromatography is a versatile and well-established separation technique often employed for a variety of analytical tasks and allowing the separation of fairly complex mixtures of low- and high-molecular-weight compounds. This method is also suitable for different polarities and acid-base properties of various matrices.
In this study, 125 biologically active compounds of a phenolic and nonphenolic nature were identified in differently pigmented wheat grains by HPLC coupled with Bruker Daltonics ion trap MS/MS (Table 1). Our annotation results are consistent with the extensive mass-spectrometric literature data on the wheat T. aestivum [27,28,29,30,31,32,33] and other plant matrices, e.g., Passiflora incarnate [34], Bituminaria [35], Phyllostachys nigra [36], Carpobrotus edulis [37], and Vaccinium macrocarpon [38]. For example, the collision-induced dissociation spectrum (in negative ion mode) of a flavone called apigenin 2″-O-sinapoyl, C-hexosyl, C-pentosyl from extracts of T. aestivum grains [line S29 BLUE (4Th-4D)] is given in Figure 7. The [M − H] molecular ion gave rise to three molecular ions at m/z 545.02, 724.18, and 425.07 (see Figure 7). The molecular ion with m/z 545.02 yielded one daughter ion at m/z 425.07. The molecular ion with m/z 425.07 broke up into three daughter ions with m/z 365.00, 335.04, and 185.04. It was identified in the literature about extracts from T. aestivum [29].
Among the identified compounds, 87 were identified in wheat grains for the first time; they are affiliated with such phenolic compounds families as anthocyanins, coumarins, dihydrochalcones, flavan-3-ols, flavanone, flavones, flavonols, hydroxybenzoic acids, hydroxycinnamic acids, isoflavone, lignans, other phenolic acids, stilbenes, and nonphenolic compounds families as alkaloids, carboxylic acids, carotenoids, diterpenoids, essential amino acids, triterpenoids, sterols, nonessential amino acids, phytohormones, purines, and thromboxane receptor.
The diversity of phytochemicals may underlie diverse biological activities of the raw material. For instance, under the common name anthocyanins, there are up to 600 individual chemicals [39]. Biological activity of some individual anthocyanins has been tested, and distinct effects on physiological processes in animals and humans (or a lack of any) have been described. Antioxidant activity of anthocyanins is reported to be dependent on structural features of the molecules such as the number of hydroxyl and methyl groups and patterns of glycosylation [40]. Among anthocyanins, the highest antioxidant activity is featured by derivatives of delphinidin and cyanidin, followed by derivatives of malvidin, peonidin, pelargonidin, and petunidin [41]. In addition, a glycoside and rutinoside of cyanidin accelerate the regeneration of rhodopsin, while the derivatives of delphinidin have no effect [42]. Anthocyanidins have been demonstrated to be better inhibitors of cell proliferation than anthocyanins [43], with delphinidin and cyanidin having the best growth-inhibitory property and pelargonidin and malvidin devoid of such effects [44,45]. From these observations, we may conclude that the more compounds are present in plant material, the wider is the expected spectrum of biological activities. Investigation of such diversity is a promising field for the development of functional food programs and for pharmacological research.
Here, we compared the diversity of compounds among colored-grain wheat lines and observed that the anthocyaninless line S29 is characterized by the lowest diversity of all the identified compounds, phenolic compounds in particular (Figure 3). The lower diversity of biologically active compounds in S29 is explained by the absence of seven families of phenolics (coumarins, flavan-3-ols, flavanones, flavonols, phenolic acids, dihydrochalcones, and stilbenes) and 12 families of nonphenolic compounds (alkaloids, anabolic steroids, carboxylic acids, carotenoids, cycloartanols, di- and triterpenoids, propionic acids, purines, sesquiterpenoid plant hormones, thromboxane receptor antagonists, and unsaturated fatty acids). These data imply that the genes of wheatgrass chromosome 4Th and chromosome fragments introgressed into 2A and 7D (including the genes regulating anthocyanin biosynthesis) are responsible for the presence of the above compounds in the grain and thus affect the diversity of biologically active substances in the wheat grain.
Although the black-grained lines contain Pp genes in addition to Ba and one may expect an increased number of biologically active compounds in these lines, there were no significant differences in the number of identified compounds between blue- and black-grained lines having chromosome 4D substituted by 4Th; moreover, a statistically significant decrease in the diversity of compounds was observed in the black-grained lines in comparison with the blue-grained lines having a chromosome 4B substitution. According to the results of our one-way ANOVA on ranks, the diversity of the chemicals is affected by such genetic factors as “Chromosome Substitution,” “Grain Color,” and “Genotype of Line,” but not “Genotype of Parental Line/Cultivar.” (Table 2) In support of these data, some differences in the chemical profile were noted among the lines with distinct substitutions of chromosomes and among lines with different colors of grains (Table S1). For example, two compounds belonging to the classes of phenolic and nonphenolic substances—selgin and a sesquiterpenoid plant hormone, respectively—were identified only in the lines with substituted chromosome 4B [S29 BLUE (4Th-4B) and S29 BLACK (4Th-4B)]. This observation suggests that this chromosome carries regulatory factors suppressing the synthesis of these compounds. Removing them by substitution of the chromosomes carrying these repressors activates the synthesis of the compounds in the substitution lines. Some common features can be found among the chemical profiles of the lines with similar chromosomes composition. Even though the sister lines of S29 are genetically related (and there is a line based on E22 that has S29 in its pedigree [46]; Figure S2), some line-specific (unique) compounds were identified (Table 1, Figure 5). They constitute unique chemical fingerprints of each line, allowing to distinguish each line from the six others. The unique compounds of each line are hardly explained by the genetic relationships among the lines but can be considered the main reason for the separation of the analyzed lines into two subclusters observed in the dendrogram and the separation of lines S29 BLACK (4Th-4D) and BW BLACK (4Th-4D), which are characterized by the highest percentage of unique compounds (Figure 4 and Figure 5).

4. Materials and Methods

4.1. Materials

The chemical profiles were analyzed in seven wheat lines with different grain colors and characterized genetic pedigrees (Table 3, Figure S2). The control group of (anthocyaninless) grains consisted of cv. Saratovskaya 29 (S29). Blue grains were represented by two wheat-wheatgrass substitution lines S29 BLUE(4Th-4B) and S29 BLUE (4Th-4D) developed in the S29 background but carrying Ba gene–containing wheatgrass chromosome 4Th, which replaced wheat chromosomes 4B and 4D, respectively [25,26]. Black grains were represented by four lines, two of them—S29 BLACK (4Th-4B) and S29 BLACK (4Th-4D)—have been developed previously in the S29 background by crossing the above-mentioned lines with purple-grained near-isogenic wheat line S29 PURPLE Pp-D1Pp3 carrying introgressions in chromosomes 7D and 2A, onto which the dominant alleles of genes Pp-D1 and Pp3, respectively, have been mapped [47,48]. Two other black-grained lines—E22 BLACK (4Th-4D) and BW BLACK (4Th-4D)— were developed in the current study by marker-assisted transfer of genes Pp-D1+Pp3 and Ba from donor lines [S29 PURPLE Pp-D1Pp3 and S29 BLUE (4Th-4D), respectively] into cv. Element 22 (E22) (P.A. Stolypin Omsk State Agrarian University, Omsk, Russia) and breeding line BW49880 (CIMMYT, INT, México-Veracruz, Mexico) (Figure S2).

4.2. Chemicals and Reagents

HPLC grade acetonitrile was purchased from Fisher Scientific (Southborough, UK), and MS grade formic acid from Sigma-Aldrich (Steinheim, Germany). Ultra-pure water was prepared by means of a SIEMENS ULTRA clear (SIEMENS Water Technologies, Munich, Germany), and all other chemicals were of analytical grade.

4.3. Fractional Maceration

To obtain highly concentrated extracts, fractional maceration was employed. In this technique, the total amount of an extractant (reagent grade ethyl alcohol) is divided into three parts and is sequentially applied to grains (first, the first part, then with the second and third). The infusion time for each part of the extractant was 14 days.

4.4. Liquid Chromatography

HPLC was performed on a Shimadzu LC-20 Prominence HPLC system (Shimadzu, Tokyo, Japan) equipped with a UV sensor and a Shodex ODP-40 4E reverse-phase column for the separation of multicomponent mixtures. The gradient elution program was as follows: from time point 0.01 min to 4.00 min, 100% A; from 4 to 60 min, 100–25% A; from 60 to 75 min, 25–0% A; then, a control wash from 75 to 120 min at 0% A. The entire HPLC analysis was carried out with an ESI detector at wavelengths of 230 and 330 nm; the temperature was set to 17 °C, and the injection volume was 1 mL.

4.5. MS

This analysis was performed on an ion trap amaZon SL instrument (Bruker Daltonics, Bremen, Germany) equipped with an electrospray ionization source, in negative ion mode. The following optimal parameters were found and applied: ionization source temperature 70 °C, gas flow 4 L/min, nebulizer gas (atomizer) 7.3 psi, capillary voltage 4500 V, end plate bend voltage 1500 V, fragmentation voltage 280 V, and collision energy 60 eV. The ion trap was used in the scan range m/z 100–1700 for MS and MS/MS. The capture rate was 1 spectrum/s for MS and 3 spectra/s for MS/MS. Data collection was controlled by Hystar Data Analysis 4.1 software (Bruker Daltonics, Bremen, Germany). All the measurements were performed in triplicate. The combination of both ionization modes (positive and negative) in MS full scan mode provided extra confidence of the molecular mass determination. A comprehensive table of molecular masses of the target analytes isolated from the EtOH extracts of T. aestivum grains was compiled by comparing the m/z values, retention times, and the fragmentation patterns with the MS/MS spectral data from the literature [28,29,31,34,49,50,51,52,53,54,55,56,57], and other sources or from searches of databases (MS2T, MassBank, and HMDB).

4.6. Data Analysis

A nonparametric test (Spearman’s rank correlation analysis) was performed to compare the wheat lines having different grain colors; for estimation of differences between two groups, we used the two-sided version of the test. We also carried out the Kruskal–Wallis H test (one-way ANOVA on ranks), the Fisher F test (two-way ANOVA), and multiple pairwise analysis (Duncan test) in the STATISTICA 10.0 software [58]. To visualize the obtained data, a dendrogram based on Euclidean distances was drawn by the UPGMA.

5. Conclusions

As shown by a number of pharmacological studies, single-component drugs cannot be sufficiently effective in the treatment of multifactorial diseases. The mixtures of biologically active compounds that possess an ability to interact with each other often turn out to be more effective against a disease as compared to individual components of the mixture. Bioactive natural products containing a wide variety of compounds are considered more attractive for the production of functional foods and pharmacological research than formulations containing only a few components. Currently, the search for raw materials with a wide variety of biologically active compounds is an urgent task. In the present study, diversity of such compounds was investigated in anthocyanin-rich wheat grains by HPLC-MS/MS. Aside from anthocyanin, the study was focused on identifying other families of compounds of a phenolic and nonphenolic nature. A total of 125 biologically active compounds were identified, and among them, 87 were found in wheat grains for the first time. Statistically significantly higher diversity of the compounds was noted in colored grains of wheat in comparison with a control line, whereas between blue- and black-grained groups of lines, no differences were found. The unique chemical profiles with line-specific compounds were determined for each anthocyanin-rich line. The results make these lines promising sources of functional-food ingredients with a wide spectrum of biological activities.

Supplementary Materials

The following are available online, Figure S1: Dendrograms for seven T. aestivum lines. The trees were built using the UPGMA and Euclidean distance from data on different groups of chemicals, Figure S2: The breeding scheme for the development of the blue- and black-grained wheat lines used in this study, Table S1: The presence of biologically active compounds in the wheat lines grouped by chromosome substitution, grain color, or both.

Author Contributions

Conceptualization, E.K.K., M.P.R. and K.S.G.; methodology, M.P.R.; resources, E.K.K., A.M.Z., E.I.G. and K.S.G.; metabolome investigation and interpretation, M.P.R. and K.S.P.; metabolomic assay supervision, K.S.G.; metabolomic assay assistance, L.A.K.; data analysis and interpretation of genotype contributions, O.Y.S. and E.V.A.; writing—original draft preparation, M.P.R.; writing—review and editing, E.K.K., A.M.Z., O.Y.S., E.V.A. and K.S.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Russian Science Foundation, grant number 21-66-00012. Wheat lines for chemical analysis of grain were propagated using resources of the Greenhouse Core Facility supported by ICG, project number 0259-2021-0012.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding authors.

Acknowledgments

We thank Nikolai Shevchuk for linguistic advices and proofreading of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The list of compounds identified in EtOH extracts of T. aestivum grains.
Table A1. The list of compounds identified in EtOH extracts of T. aestivum grains.
IDIdentified CompoundMolecular FormulaCalculated MassObserved MassFragment Ions, m/zReferences
[M − H][M + H]+
Anthocyanin
1Cyanidin 3-(2″-galloylglucoside)C28H25O15+ 601.4891 602592; 556; 429; 349; 287; 231[59]
2Cyanidin-3-O-3″,6″-O-Dimalonylglucoside C27H25O17621.4772 622612,395, 328, 287, 221[31]
3Cyanidin-3-O-glucoside [Cyanidin 3-O-β-d-Glucoside; Kuromarin]C21H21O11+449.3848 450287; 213; 169; 115[31,54,60]
4Malvidin 3-O-rutinosideC29H35O16639.5786 640493; 331; 315[31,61]
5Malvidin 3-O-rutinoside-5-O-glucosideC35H45O21801.7192 802639; 493; 331[31,61]
6Peonidin 3-O-rutinosideC28H33O15609.5526 610463; 343; 301; 285; 258[31,59,62]
7Peonidin 3-rutinoside-5-glucosideC34H43O20771.6932 772705; 463; 367; 301[31]
8Peonidin-3-O-glucosideC22H23O11 +463.4114 464301; 445; 286; 258[31,59,63]
9PetunidinC16H13O7317.2702 318300; 256; 238; 198[31,61]
10Petunidin 3-O-rutinoside-5-O-glucosideC34H43O21787.6926 788625; 479; 317[31,61]
Cinnamic Acid Derivative
11Ferulic acid methyl esterC11H12O4 208.2106207 179; 135[64]
Hydroxycinnamic Acid
121-Caffeoyl-β-d-glucose [Caffeic acid-glucoside]C15H18O9 342.298341 161; 143[34,63]
131-O-Sinapoyl-β-d-glucoseC17H22O10386.3576 387205[63]
14Caffeic acid derivativeC16H18O9Na377.2985377 341; 178; 143[65]
15Caftaric acid [Cis-Caftaric acid; 2-Caffeoyl-l-Tartaric acid]C13H12O9312.23311 267; 293; 249; 193; 183; 167[37,49,63,66]
16Chlorogenic acid [3-O-Caffeoylquinic acid]C16H18O9 354.3087 355337; 319; 301; 239; 222; 227[54,67]
17Ferulic acidC10H10O4 194.184 195137[54,68]
Coumarin
18FraxetinC10H8O5208.1675207 179; 161; 135; 117[69,70,71]
19Fraxetin-7-O-sulfateC10H8O8S288.2307287 207; 163; 119[69]
Dihydrochalcone
20Phlorizin [Phloridzin; Phlorizoside; Floridzin; Phloretin 2′-Glucoside]C21H24O10 436.4093 437275; 257; 203; 173; 150[37,53,55,72]
Flavan-3-ol
21Catechin [d-Catechol]C15H14O6 290.2681 291245; 203; 145[53,55,56,66,68,73,74,75,76]
22EpicatechinC15H14O6 290.2681 291273; 255; 213; 147; 127[37,53,63,68,75,76,77]
23Gallocatechin [+(−) Gallocatechin]C15H14O7306.2675305 287; 249; 205; 151; 138; 125[37,66,73]
Flavanone
24Naringenin [Naringetol]C15H12O5272.5228 273156; 191; 112[53,57,63,73,78]
Flavone
256-C-hexosyl-chrysoeriol O-rhamnoside-O-hexosideC33H38O21770.6422 771753; 704; 687; 585; 529; 499; 427; 422; 385; 337; 207[27]
26Acacetin C-glucoside methylmalonylatedC26H26O13546.4758 547529; 511; 427; 301; 253; 172[79]
27Apigenin C15H10O5 270.2369 271252; 239; 226; 211[34]
28Apigenin 2″-O-sinapoyl, C-hexosyl, C-pentosylC37H38O18770.6868768 545; 425; 365; 335; 185[29]
29Apigenin 6,8-di-C-pentosideC25H26O13534.4661 535499; 481; 415; 409; 307; 291[34,49,80]
30Apigenin 6-C-deoxyhexoside-8-C-pentosideC26H28O13548.4927 549531; 465; 369; 319; 248[34]
31Apigenin-6-C-β-galactosyl-8-C-β-glycosyl-O-glycuronopyranosideC33H38O21770.6422 771679; 651; 561; 511; 457; 367; 313; 297; 267; 249; 215; 207; 177; 121[28]
32Apigenin 8-C-hexoside-6-C-pentosideC26H28O14564.4921 565547; 529; 511; 481; 427; 349; 325; 313[28,29,35]
33Apigenin 8-C-pentoside-6-C-hexosideC26H28O14564.4921 565547; 529; 511; 427; 391; 325; 291; [28,29,35]
34ChrysoeriolC16H12O6 300.2629 301286; 258; 229[33,60,81]
35Chrysoeriol C-hexoside-C-pentosideC27H30O15594.5181 595577; 558; 499; 481; 427; 379; 327; 287[27,29,32,35]
36CirsiliolC17H14O7330.2889329 229; 211; 171; 155[52]
37Dihydroxy tetramethoxyflavanoneC19H20O8376.3573 377361; 323; 265; 179[37]
38Diosmetin [Luteolin 4′-Methyl Ether; Salinigricoflavonol]C16H12O6300.2629 301286; 258; 177; 138[81,82,83]
39Genistein C-glucosylglucosideC27H30O15 594.5181 595577; 529; 457; 427; 302[79]
40Hydroxy dimethoxyflavone hexosideC23H24O10 460.4307 461301; 286; 258; 243[37]
41LuteolinC15H10O6286.2363285 199; 151[33,36,50,52,73,84]
42Luteolin 8-C-Glucoside [Orientin; Orientin (Flavone); Lutexin]C21H20O11 448.3769 449431; 413; 356; 333; 290; 267; 233; 227[28,36,49,55]
43Luteolin 8-C-hexoside-6-C-pentosideC26H28O15580.4915 581563; 515; 485; 413; 377; 342; 205[27,29,32,35]
44Luteolin 8-C-pentoside-6-C-hexosideC26H28O15580.4915 581563; 528; 515; 496; 443; 413; 341; 335; 323; 181[28,29,33]
45MyricetinC15H10O8 318.2351317 273; 260; 238[37,38,63,73,85]
46Orientin 7-O-deoxyhexoside [Luteolin 8-C-glucoside 7-O-deoxyhexoside]C27H30O15 594.5181 595577; 528; 510; 438; 427; 325[34]
47Pentahydroxy dimethoxyflavoneC17H14O9 362.2877 363345; 326; 247; 201; 155[37]
48Pentahydroxy dimethoxyflavone hexosideC23H24O14524.4283 525463; 363; 257[37]
49Pentahydroxy trimethoxy flavoneC18H16O10 392.3136 393375; 357; 328; 269; 230; 218 [37]
50TricinC17H14O7 330.2889 331315; 287; 285; 270; 229[28,33,36,54]
51Tetrahydroxy-dimethoxyflavone-hexoside [Syringetin-hexoside; dimethyl-myricetin-hexoside]C23H24O13508.4289 509347; 329; 316; 265; 185; 181[38,49,80]
52Trihydroxy methoxyflavone triacetateC18H18O9 378.3301 379361; 321; 287; 234; 223; 167[37]
53Vicenin-2 [Apigenin-6,8-Di-C-Glucoside]C27H30O15594.5181 595577; 559; 541; 529; 523; 499; 469; 439; 427; 391[28,29,30,34,35,50,55]
54Vitexin 2″-O-glucoside [Apigenin 8-C-glucoside 2″-O-glucoside]C27H30O15594.5181 595577; 541; 457; 288[34]
55Vitexin 6″-O-glucoside [Apigenin 8-C-glucoside 6″-O-glucoside]C27H30O15594.5181 595577; 559; 528; 511; 499; 493; 487; 445; 427[34]
56Wighteone-O-glucosideC26H28O10500.4945 501339; 262; 185; 167[79]
Flavonol
57Ampelopsin [Dihydromyricetin; Ampeloptin]C15H12O8 320.251 321303; 285; 163[86,87]
58Isorhamnetin [Isorhamnetol; Quercetin 3′-Methyl ether; 3-Methylquercetin]C16H12O7316.2623315 300; 272; 243; 145[38,53]
59KaempferideC16H12O6300.2629 301286; 258; 229; 174; 153[52,88]
60KaempferolC15H10O6286.2363 287268; 214; 196; 160; 123[52,63,73,89]
61QuercetinC15H10O7 302.2357301 283; 255; 227[38,53,54,57,63,68,73,76]
62Rhamnetin I [β-Rhamnocitrin; Quercetin 7-Methyl ether]C16H12O7316.2623 317255; 197; 139; 122[86]
63Rhamnetin IIC16H12O7316.2623 317256; 121; 228; 111[86]
64Selgin [Selagin; 3′-O-Methyltricetin; Tricetin ′3-O-methyl ether]C16H12O7316.2623 317315; 256; 161[90]
65Taxifolin-3-O-glucosideC21H22O12 466.3922 467449; 373; 258; 199; 177 [63]
66Taxifolin-O-pentoside [Dihydroquercetin pentoside]C20H20O11436.371 437303; 259; 177; 169 [37]
Gallotannin
67β-Glucogallin [1-O-Galloyl-β-d-Glucose; Galloyl glucose]C13H16O10332.2601331 313; 295; 277; 171; 140; 127[53,91]
Hydroxybenzoic Acid
684-Hydroxybenzoic acid [PHBA; Benzoic acid]C7H6O3 138.1207 139137; 121[35,49,63,74]
69Cis-salvianolic acid JC27H22O12538.4564 539523; 481; 393; 360; 319; 247; 204; 191; 120[81]
70Hydroxy methoxy dimethylbenzoic acidC10H12O4 196.1999 197179; 160; 133[37]
71Salvianolic acid DC20H18O10418.3509417 373; 329; 287[49,92]
72Salvianolic acid FC17H14O6 314.2895313 295; 277; 223; 171; 155 [49,92]
73Salvianolic acid GC18H12O7340.2837 341323; 260; 199; 168[81,92]
Lignan
74Dimethyl-secoisolariciresinol C22H30O6390.4700 391355; 336; 308; 218; 149[93]
75HinokininC20H18O6 354.3533 355336; 318; 300; 207; 181; 177[28,30,54]
76PinoresinolC20H22O6 358.3851357 339; 311; 267; 213; 197; 171; 155; 139[28,30,34]
77Podophyllotoxin [Podofilox; Condylox; Condyline; Podophyllinic acid lactone]C22H22O8 414.4053 415397; 379; 310; 275; 250; 182[93]
78SyringaresinolC22H26O8418.4436 419357; 327; 275; 185; 158[54]
Phenolic Acid
791-O-caffeoyl-5-O-feruloylquinic acidC26H26O12530.4774 531513; 415; 337; 195; 176; 115[52]
804-O-Caffeoyl-5-O-p-coumaroylquinic acidC25H24O11500.4515 501339; 244; 189; 140[55,84]
81Feruloyl sulfateC10H10O7S274.2472273 193; 192; 149[94]
82Gallic acid hexosideC13H16O10332.2601 333242; 212; 182; 159[95]
Stilbene
83Pinosylvin [3,5-Stilbenediol; Trans-3,5-Dihydroxystilbene]C14H12O2212.2439 213197; 183; 166; 124[96]
84Polydatin [Piceid; trans-Piceid]C20H22O8390.3839 391355; 333; 265; 227; 209; 145[73,77]
85Resveratrol [trans-Resveratrol; 3,4′,5-Trihydroxystilbene; Stilbentriol]C14H12O3228.2433 229228; 142; 114[37,73]
Other Compounds
86Undecanedioic acidC11H20O4216.2741 217173; 157; 142; 118; 115[34]
87Myristoleic acid [Cis-9-Tetradecanoic acid]C14H26O2226.3550 227209; 138; 127; 110[34]
8811-Hydroperoxy-octadecatrienoic acidC18H30O4310.4284309 291; 209; 207; 125[97]
899,10-Dihydroxy-8-oxooctadec-12-enoic acid [oxo-DHODE; oxo-Dihydroxy-octadecenoic acid]C18H32O5328.4437327 229; 211; 171; 135; 125[35,36]
90Dihydroxy docosanoic acidC22H44O4372.5824371 327; 297; 282; 251; 187; 125[34]
91Docosenoic acid [2-Docosenoic acid])C22H42O2 338.5677 339322; 295; 256; 215; 163[34]
92Hydroxy methoxy dimethylbenzoic acidC10H12O4196.1999195 177; 129[34]
93Pentacosenoic acidC25H48O2 380.6474 381363; 293; 173; 135[34]
94Salvianic acid CC18H18O9378.3301 379361; 343; 335; 326; 247; 237; 205; 151; 129[92]
95VebonolC30H44O3452.6686 453435; 336; 209[86]
96Cyclopassifloic acid glucosideC37H62O12698.8810 699537; 421; 348; 203[31]
97(3S, 3′S, all-E)-zeaxanthin [Zeaxanthin; (3S,3′S)-Zeaxanthin]C40H56O2 568.8714 569551; 375; 329; 279; 235; 210; 153[51]
98Cryptoxanthin [β-cryptoxanthin]C40H56O552.872 553461; 337; 199[51]
99Isocryptotanshinone IIC19H20O3296.3603 297279; 149; 146[98]
100Tanshinone IIB [(S)-6-(Hydroxymethyl)-1,6-Dimethyl-6,7,8,9-Tetrahydrophenanthro [1,2-B]Furan-10,11-Dione]C19H18O4310.3438309 291; 273; 251; 235; 209; 207; 122[98]
101β-Amyrin [β-Amyrenol; Amyrin; Olean-12-en-3β-ol]C30H50O 426.7174 427409; 391; 373; 292; 269; 240; 190; 145; 137[34]
102Gibberellic acidC19H22O6346.3744 347301; 282; 263; 242; 201; 185; 139[99]
103Betunolic acidC30H46O3454.3446 455436; 355; 236; 226[86]
104Ursolic acidC30H48O3 456.7003 457439; 263; 177; 145[52,56,81,100]
105Squalene (Trans-Squalene; Spinacene; Supraene)C30H50410.718 411235; 218; 177; 147[101,102]
106UvaolC30H50O2 442.7168 443425; 407; 315; 304; 287; 230; 154; 137[34]
107l-HistidineC6H9N3O2155.1546 156[103]
108l-Tryptophan [Tryptophan; (S)-Tryptophan]C11H12N2O2204.2252 205188; 146; 118[34,91,104]
109l-ValineC5H11NO2117.1463 118[103]
110Tyrosine [(2S)-2-Amino-3-(4-Hydroxyphnyl) Propanoic acid]C9H11NO3181.19 182155; 127; 116[104]
111SespendoleC33H45NO4519.7147 520184; 125[86]
112Berberine [Berberin; Umbelletine; Berbericine]C20H18NO4336.3612 337320; 303; 207; 206; 115[105]
113GA8-hexose gibberellinC25H34O12526.5303 527365; 305; 275; 245; 203; 143[91]
114Abscisic acid [Dormin; Abscisin II; (S)-(+)-Abscisic acid]C15H20O4264.3169 265247; 122[99]
115Ketoprofen [Orudis; 2-(3-Benzoylphenyl) Propionic acid; Profenid]C16H14O3254.2806253 209; 191; 165; 121[106]
116AdenosineC10H13N5O4267.2413 268136[103]
117Ergosterol [Provitamin D2; Ergosterin]C28H44O396.6484 397379; 361; 309; 282; 239; 189; 125[34]
118Avenasterol [Delta7-Avenasterol; 7-Dehydroavenasterol]C29H48O 412.6908 413395; 376; 358; 336; 325; 271; 269; 251; 225; 224; 201; 165; 159; 124[34]
119β-Sitostenone [Stigmast-4-En-3-One; Sitostenone]C29H48O 412.6908 413493; 375; 358; 269; 261; 235; 152; 147[34]
120β-Sitosterin [β-Sitosterol]C29H50O 414.7067 415395; 377; 297; 268; 213; 163 133; [37,100]
121CampestenoneC28H46O398.6642 399337; 319; 311; 266; 239; 189; 182; 127[34]
122Fucosterol [Fucostein; Trans-24-Ethylidenecholesterol]C29H48O 412.6908 413395; 375; 355; 340; 303; 267; 201; 195; 167; 121[34]
123Oxo-hydroxy sitosterolC29H48O3444.6896 445427; 385; 319; 205; 165; 164; 137[34]
124VapiprostC30H39NO4477.6350 478337; 121; 263[86]
125Hexadecatrienoic acid [Hexadeca-2,4,6-trienoic acid]C16H26O2250.3764 251233; 204; 147[34]

References

  1. Loskutov, I.G.; Khlestkina, E.K. Wheat, Barley, and Oat Breeding for Health Benefit Components in Grain. Plants 2021, 10, 86. [Google Scholar] [CrossRef] [PubMed]
  2. Abdel-Aal, E.-S.M.; Young, J.C.; Rabalski, I. Anthocyanin composition in black, blue, pink, purple, and red cereal grains. J. Agr. Food Chem. 2006, 54, 4696–4704. [Google Scholar] [CrossRef] [PubMed]
  3. Chalker-Scott, L. Environmental significance of anthocyanins in plant stress responses. Photochem. Photobiol. 1999, 70, 1–9. [Google Scholar] [CrossRef]
  4. Tikhonova, M.A.; Shoeva, O.Y.; Tenditnik, M.V.; Ovsyukova, M.V.; Akopyan, A.A.; Dubrovina, N.I.; Amstislavskaya, T.G.; Khlestkina, E.K. Evaluating the Effects of Grain of Isogenic Wheat Lines Differing in the Content of Anthocyanins in Mouse Models of Neurodegenerative Disorders. Nutrients 2020, 12, 3877. [Google Scholar] [CrossRef]
  5. Cavalcanti, R.N.; Santos, D.T.; Meireles, M.A.A. Non-thermal stabilization mechanisms of anthocyanins in model and food systems—An overview. Food Res. Int. 2011, 44, 499–509. [Google Scholar] [CrossRef]
  6. Žilić, S.; Serpen, A.; Akıllıoǧlu, G.; Gökmen, V.; Vančetović, J. Phenolic compounds, carotenoids, anthocyanins, and antioxidant capacity of colored maize (Zea mays L.) kernels. J. Agric. Food Chem. 2012, 60, 1224–1231. [Google Scholar] [CrossRef]
  7. Zeven, A. Wheats with purple and blue grains: A review. Euphytica 1991, 56, 243–258. [Google Scholar] [CrossRef]
  8. Khlestkina, E. Genes determining the coloration of different organs in wheat. Russ. J. Genet. Appl. Res. 2013, 3, 54–65. [Google Scholar] [CrossRef]
  9. Khlestkina, E.; Shoeva, O.Y.; Gordeeva, E. Flavonoid biosynthesis genes in wheat. Russ. J. Genet. Appl. Res. 2015, 5, 268–278. [Google Scholar] [CrossRef]
  10. Himi, E.; Maekawa, M.; Miura, H.; Noda, K. Development of PCR markers for Tamyb10 related to R-1, red grain color gene in wheat. Theoret. Appl. Genet. 2011, 122, 1561–1576. [Google Scholar] [CrossRef]
  11. Shen, Y.; Shen, J.; Zhuang, L.; Wang, Y.; Pu, J.; Feng, Y.; Chu, C.; Wang, X.; Qi, Z. Physical localization of a novel blue-grained gene derived from Thinopyrum bessarabicum. Mol. Breed. 2013, 31, 195–204. [Google Scholar] [CrossRef]
  12. Dubcovsky, J.; Luo, M.-C.; Zhong, G.-Y.; Bransteitter, R.; Desai, A.; Kilian, A.; Kleinhofs, A.; Dvořák, J. Genetic map of diploid wheat, Triticum monococcum L. and its comparison with maps of Hordeum vulgare L. Genetics 1996, 143, 983–999. [Google Scholar] [CrossRef]
  13. Zheng, Q.; Li, B.; Mu, S.; Zhou, H.; Li, Z. Physical mapping of the blue-grained gene(s) from Thinopyrum ponticum by GISH and FISH in a set of translocation lines with different seed colors in wheat. Genome 2006, 49, 1109–1114. [Google Scholar] [CrossRef]
  14. McIntosh, R.A.; Hart, G.E.; Devos, K.M.; Gale, M.D.; Rogers, W.J. Catalogue of gene symbols for wheat. In Proceedings of the 9th International Wheat Genetics Symposium; Slinkard, A.E., Ed.; University Extension Press, University of Saskatchewan: Saskatoon, SK, Canada, 1998; pp. 1–235. [Google Scholar]
  15. Dobrovolskaya, O.; Arbuzova, V.; Lohwasser, U.; Röder, M.; Börner, A. Microsatellite mapping of complementary genes for purple grain colour in bread wheat (Triticum aestivum) L. Euphytica 2006, 150, 355–364. [Google Scholar] [CrossRef]
  16. Usenko, N.I.; Khlestkina, E.K.; Asavasanti, S.; Gordeeva, E.I.; Yudina, R.S.; Otmakhova, Y.S. Possibilities of enriching food products with anthocyanins by using new forms of cereals. Foods Raw Mater. 2018, 6, 128–135. [Google Scholar] [CrossRef]
  17. Khlestkina, E.K.; Usenko, N.I.; Gordeeva, E.I.; Stabrovskaya, O.I.; Sharfunova, I.B.; Otmakhova, Y.S. Evaluation of wheat products with high flavonoid content: Justification of importance of marker-assisted development and production of flavonoid-rich wheat cultivars. Vavilov J. Genet. Breed. 2017, 21, 545–553. [Google Scholar] [CrossRef]
  18. Bartl, P.; Albreht, A.; Skrt, M.; Tremlová, B.; Ošťádalová, M.; Šmejkal, K.; Vovk, I.; Ulrih, N.P. Anthocyanins in purple and blue wheat grains and in resulting bread: Quantity, composition, and thermal stability. Int. J. Food Sci. Nutr. 2015, 66, 514–519. [Google Scholar] [CrossRef]
  19. Pasqualone, A.; Bianco, A.M.; Paradiso, V.M.; Summo, C.; Gambacorta, G.; Caponio, F.; Blanco, A. Production and characterization of functional biscuits obtained from purple wheat. Food Chem. 2015, 180, 64–70. [Google Scholar] [CrossRef]
  20. Ficco, D.B.M.; De Simone, V.; De Leonardis, A.M.; Giovanniello, V.; Del Nobile, M.A.; Padalino, L.; Lecce, L.; Borrelli, G.M.; De Vita, P. Use of purple durum wheat to produce naturally functional fresh and dry pasta. Food Chem. 2016, 205, 187–195. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Gamel, T.H.; Wright, A.J.; Pickard, M.; Abdel-Aal, E.S.M. Characterization of anthocyanin-containing purple wheat prototype products as functional foods with potential health benefits. Cereal Chem. 2020, 97, 34–38. [Google Scholar] [CrossRef] [Green Version]
  22. Abdel-Aal, E.-S.M.; Hucl, P. Composition and stability of anthocyanins in blue-grained wheat. J. Agric. Food Chem. 2003, 51, 2174–2180. [Google Scholar] [CrossRef]
  23. Hosseinian, F.S.; Li, W.; Beta, T. Measurement of anthocyanins and other phytochemicals in purple wheat. Food Chem. 2008, 109, 916–924. [Google Scholar] [CrossRef] [PubMed]
  24. Devanand, L.L.; Lu, Y.; John, K.M.M. Bioactive phytochemicals in wheat: Extraction, analysis, processing, and functional properties. J. Funct. Foods 2015, 18, 910–925. [Google Scholar]
  25. Gordeeva, E.; Badaeva, E.; Yudina, R.; Shchukina, L.; Shoeva, O.; Khlestkina, E. Marker-assisted development of a blue-grained substitution line carrying the Thinopyrum ponticum chromosome 4Th(4D) in the spring bread wheat Saratovskaya 29 background. Agronomy 2019, 9, 723. [Google Scholar] [CrossRef] [Green Version]
  26. Gordeeva, E.; Badaeva, E.; Adonina, I.; Khlestkina, E.; Shoeva, O.Y. Marker-based development of wheat near-isogenic and substitution lines with high anthocyanin content in grains. In Current Challenges in Plant Genetics, Genomics, Bioinformatics, and Biotechnology: Proceedings of the Fifth International Scientific Conference PlantGen2019; Kochetov, A., Salina, E., Eds.; Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences: Novosibirsk, Russia, 2019; p. 82. [Google Scholar]
  27. Cavaliere, C.; Foglia, P.; Pastorini, E.; Samperi, R.; Laganà, A. Identification and mass spectrometric characterization of glycosylated flavonoids in Triticum durum plants by high-performance liquid chromatography with tandem mass spectrometry. Rapid Commun. Mass Spectrom. 2005, 19, 3143–3158. [Google Scholar] [CrossRef]
  28. Dinelli, G.; Segura-Carretero, A.; Di Silvestro, R.; Marotti, I.; Arráez-Román, D.; Benedettelli, S.; Ghiselli, L.; Fernadez-Gutierrez, A. Profiles of phenolic compounds in modern and old common wheat varieties determined by liquid chromatography coupled with time-of-flight mass spectrometry. J. Chromatogr. A 2011, 1218, 7670–7681. [Google Scholar] [CrossRef] [PubMed]
  29. Geng, P.; Sun, J.; Zhang, M.; Li, X.; Harnly, J.M.; Chen, P. Comprehensive characterization of C-glycosyl flavones in wheat (Triticum aestivum L.) germ using UPLC-PDA-ESI/HRMSn and mass defect filtering. J. Mass Spectrom. 2016, 51, 914–930. [Google Scholar] [CrossRef] [Green Version]
  30. Leoncini, E.; Prata, C.; Malaguti, M.; Marotti, I.; Segura-Carretero, A.; Catizone, P.; Dinelli, G.; Hrelia, S. Phytochemical profile and nutraceutical value of old and modern common wheat cultivars. PLoS ONE 2012, 7, e45997. [Google Scholar] [CrossRef] [Green Version]
  31. Garg, M.; Chawla, M.; Chunduri, V.; Kumar, R.; Sharma, S.; Sharma, N.K.; Kaur, N.; Kumar, A.; Mundey, J.K.; Saini, M.K. Transfer of grain colors to elite wheat cultivars and their characterization. J. Cereal Sci. 2016, 71, 138–144. [Google Scholar] [CrossRef]
  32. Stallmann, J.; Schweiger, R.; Pons, C.A.; Müller, C. Wheat growth, applied water use efficiency and flag leaf metabolome under continuous and pulsed deficit irrigation. Sci. Rep. 2020, 10, 1–13. [Google Scholar]
  33. Wojakowska, A.; Perkowski, J.; Góral, T.; Stobiecki, M. Structural characterization of flavonoid glycosides from leaves of wheat (Triticum aestivum L.) using LC/MS/MS profiling of the target compounds. J. Mass Spectrom. 2013, 48, 329–339. [Google Scholar] [CrossRef]
  34. Ozarowski, M.; Piasecka, A.; Paszel-Jaworska, A.; de Chaves, D.S.A.; Romaniuk, A.; Rybczynska, M.; Gryszczynska, A.; Sawikowska, A.; Kachlicki, P.; Mikolajczak, P.L. Comparison of bioactive compounds content in leaf extracts of Passiflora incarnata, P. caerulea and P. alata and in vitro cytotoxic potential on leukemia cell lines. Rev. Bras. Farmacogn. 2018, 28, 179–191. [Google Scholar] [CrossRef]
  35. Llorent-Martínez, E.J.; Spínola, V.; Gouveia, S.; Castilho, P.C. HPLC-ESI-MSn characterization of phenolic compounds, terpenoid saponins, and other minor compounds in Bituminaria bituminosa. Ind. Crop. Prod. 2015, 69, 80–90. [Google Scholar] [CrossRef]
  36. Van Hoyweghen, L.; De Bosscher, K.; Haegeman, G.; Deforce, D.; Heyerick, A. In vitro inhibition of the transcription factor NF-κB and cyclooxygenase by Bamboo extracts. Phytother. Res. 2014, 28, 224–230. [Google Scholar] [CrossRef]
  37. Hamed, A.R.; El-Hawary, S.S.; Ibrahim, R.M.; Abdelmohsen, U.R.; El-Halawany, A.M. Identification of chemopreventive components from halophytes belonging to Aizoaceae and Cactaceae through LC/MS—Bioassay guided approach. J. Chromatogr. Sci. 2020, 59, 618–626. [Google Scholar] [CrossRef] [PubMed]
  38. Rafsanjany, N.; Senker, J.; Brandt, S.; Dobrindt, U.; Hensel, A. In vivo consumption of cranberry exerts ex vivo antiadhesive activity against FimH-dominated uropathogenic Escherichia coli: A combined in vivo, ex vivo, and in vitro study of an extract from Vaccinium macrocarpon. J. Agric. Food Chem. 2015, 63, 8804–8818. [Google Scholar] [CrossRef] [PubMed]
  39. Andersen, O.M.; Markham, K.R. Flavonoids: Chemistry, Biochemistry and Applications; CRC Press: Boca Raton, FL, USA, 2005. [Google Scholar]
  40. Yang, M.; I Koo, S.; O Song, W.; K Chun, O. Food matrix affecting anthocyanin bioavailability. Curr. Med. Chem. 2011, 18, 291–300. [Google Scholar] [CrossRef] [PubMed]
  41. Lucioli, S. Chapter 3: Anthocyanins: Mechanism of action and therapeutic efficacy. In Medicinal Plants as Antioxidant Agents: Understanding Their Mechanism of Action and Therapeutic Efficacy; Capasso, A., Ed.; Research Signpost: Kerala, India, 2012; pp. 27–57. ISBN 97881-308-0509-2. [Google Scholar]
  42. Matsumoto, H.; Nakamura, Y.; Tachibanaki, S.; Kawamura, S.; Hirayama, M. Stimulatory effect of cyanidin 3-glycosides on the regeneration of rhodopsin. J. Agric. Food Chem. 2003, 51, 3560–3563. [Google Scholar] [CrossRef] [PubMed]
  43. Zhang, Y.; Seeram, N.P.; Lee, R.; Feng, L.; Heber, D. Isolation and identification of strawberry phenolics with antioxidant and human cancer cell antiproliferative properties. J. Agric. Food Chem. 2008, 56, 670–675. [Google Scholar] [CrossRef]
  44. Cvorovic, J.; Tramer, F.; Granzotto, M.; Candussio, L.; Decorti, G.; Passamonti, S. Oxidative stress-based cytotoxicity of delphinidin and cyanidin in colon cancer cells. Arch. Biochem. Biophys. 2010, 501, 151–157. [Google Scholar] [CrossRef]
  45. Hou, D.-X. Potential mechanisms of cancer chemoprevention by anthocyanins. Curr. Mol. Med. 2003, 3, 149–159. [Google Scholar] [CrossRef]
  46. Gordeeva, E.; Shamanin, V.; Shoeva, O.; Kukoeva, T.; Morgounov, A.; Khlestkina, E. The strategy for marker-assisted breeding of anthocyanin-rich spring bread wheat (Triticum aestivum L.) cultivars in Western Siberia. Agronomy 2020, 10, 1603. [Google Scholar] [CrossRef]
  47. Arbuzova, V.; Maystrenko, O.; Popova, O. Development of near-isogenic lines of the common wheat cultivar ‘Saratovskaya 29′. Cereal Res. Commun. 1998, 26, 39–46. [Google Scholar] [CrossRef]
  48. Tereshchenko, O.Y.; Gordeeva, E.I.; Arbuzova, V.S.; Börner, A.; Khlestkina, E.K. The D Genome Carries a Gene Determining Purple Grain Colour in Wheat. Cereal Res. Commun. 2012, 40, 334–341. [Google Scholar] [CrossRef]
  49. Cirlini, M.; Mena, P.; Tassotti, M.; Herrlinger, K.A.; Nieman, K.M.; Dall’Asta, C.; Del Rio, D. Phenolic and volatile composition of a dry spearmint (Mentha spicata L.) extract. Molecules 2016, 21, 1007. [Google Scholar] [CrossRef] [Green Version]
  50. Marzouk, M.M.; Hussein, S.R.; Elkhateeb, A.; El-shabrawy, M.; Abdel-Hameed, E.-S.S.; Kawashty, S.A. Comparative study of Mentha species growing wild in Egypt: LC-ESI-MS analysis and chemosystematic significance. J. Appl. Pharm. Sci. 2018, 8, 116–122. [Google Scholar]
  51. Mercadante, A.Z.; Rodrigues, D.B.; Petry, F.C.; Mariutti, L.R.B. Carotenoid esters in foods-A review and practical directions on analysis and occurrence. Food Res. Int. 2017, 99, 830–850. [Google Scholar] [CrossRef] [PubMed]
  52. Pandey, R.; Kumar, B. HPLC–QTOF–MS/MS-based rapid screening of phenolics and triterpenic acids in leaf extracts of Ocimum species and their interspecies variation. J. Liq. Chromatogr. Relat. Technol. 2016, 39, 225–238. [Google Scholar] [CrossRef]
  53. Santos, S.A.; Vilela, C.; Freire, C.S.; Neto, C.P.; Silvestre, A.J. Ultra-high performance liquid chromatography coupled to mass spectrometry applied to the identification of valuable phenolic compounds from Eucalyptus wood. J. Chromatogr. B 2013, 938, 65–74. [Google Scholar] [CrossRef] [PubMed]
  54. Sharma, M.; Sandhir, R.; Singh, A.; Kumar, P.; Mishra, A.; Jachak, S.; Singh, S.P.; Singh, J.; Roy, J. Comparative analysis of phenolic compound characterization and their biosynthesis genes between two diverse bread wheat (Triticum aestivum) varieties differing for chapatti (unleavened flat bread) quality. Front. Plant Sci. 2016, 7, 1870. [Google Scholar] [CrossRef] [Green Version]
  55. Spínola, V.; Pinto, J.; Castilho, P.C. Identification and quantification of phenolic compounds of selected fruits from Madeira Island by HPLC-DAD–ESI-MSn and screening for their antioxidant activity. Food Chem. 2015, 173, 14–30. [Google Scholar] [CrossRef] [PubMed]
  56. Sun, L.; Tao, S.; Zhang, S. Characterization and quantification of polyphenols and triterpenoids in thinned young fruits of ten pear varieties by UPLC-Q TRAP-MS/MS. Molecules 2019, 24, 159. [Google Scholar] [CrossRef] [Green Version]
  57. Vallverdú-Queralt, A.; Jáuregui, O.; Medina-Remon, A.; Lamuela-Raventós, R.M. Evaluation of a method to characterize the phenolic profile of organic and conventional tomatoes. J. Agric. Food Chem. 2012, 60, 3373–3380. [Google Scholar] [CrossRef] [PubMed]
  58. StatSoft, Inc. STATISTICA (Data Analysis Software System), Version 10: New Features and Enhancements; StatSoft: Tulsa, OK, USA, 2011. [Google Scholar]
  59. Ruiz, A.; Hermosín-Gutiérrez, I.; Vergara, C.; von Baer, D.; Zapata, M.; Hitschfeld, A.; Obando, L.; Mardones, C. Anthocyanin profiles in south Patagonian wild berries by HPLC-DAD-ESI-MS/MS. Food Res. Int. 2013, 51, 706–713. [Google Scholar] [CrossRef]
  60. Chen, W.; Gong, L.; Guo, Z.; Wang, W.; Zhang, H.; Liu, X.; Yu, S.; Xiong, L.; Luo, J. A novel integrated method for large-scale detection, identification, and quantification of widely targeted metabolites: Application in the study of rice metabolomics. Mol. Plant 2013, 6, 1769–1780. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Ruiz, A.; Hermosin-Gutierrez, I.; Mardones, C.; Vergara, C.; Herlitz, E.; Vega, M.; Dorau, C.; Winterhalter, P.; von Baer, D. Polyphenols and antioxidant activity of calafate (Berberis microphylla) fruits and other native berries from Southern Chile. J. Agric. Food Chem. 2010, 58, 6081–6089. [Google Scholar] [CrossRef] [PubMed]
  62. Pradhan, P.C.; Saha, S. Anthocyanin profiling of Berberis lycium Royle berry and its bioactivity evaluation for its nutraceutical potential. J. Food Sci. Technol. 2016, 53, 1205–1213. [Google Scholar] [CrossRef] [Green Version]
  63. Goufo, P.; Singh, R.K.; Cortez, I. A Reference list of phenolic compounds (including stilbenes) in grapevine (Vitis vinifera L.) roots, woods, canes, stems, and leaves. Antioxidants 2020, 9, 398. [Google Scholar] [CrossRef]
  64. Thomford, N.E.; Dzobo, K.; Chopera, D.; Wonkam, A.; Maroyi, A.; Blackhurst, D.; Dandara, C. In vitro reversible and time-dependent CYP450 inhibition profiles of medicinal herbal plant extracts Newbouldia laevis and Cassia abbreviata: Implications for herb-drug interactions. Molecules 2016, 21, 891. [Google Scholar] [CrossRef] [Green Version]
  65. El-sayed, M.; Abbas, F.A.; Refaat, S.; El-Shafae, A.M.; Fikry, E. UPLC-ESI-MS/MS Profile of The Ethyl Acetate Fraction of Aerial Parts of Bougainvillea’Scarlett O’Hara’Cultivated in Egypt. Egypt. J. Chem. 2021, 64, 6–7. [Google Scholar]
  66. Yasir, M.; Sultana, B.; Anwar, F. LC–ESI–MS/MS based characterization of phenolic components in fruits of two species of Solanaceae. J. Food Sci. Technol. 2018, 55, 2370–2376. [Google Scholar] [CrossRef]
  67. Santos, S.A.O.; Freire, C.S.; Domingues, M.R.M.; Silvestre, A.J.; Neto, C.P. Characterization of phenolic components in polar extracts of Eucalyptus globulus Labill. bark by high-performance liquid chromatography–mass spectrometry. J. Agric. Food Chem. 2011, 59, 9386–9393. [Google Scholar] [CrossRef]
  68. Abeywickrama, G.; Debnath, S.C.; Ambigaipalan, P.; Shahidi, F. Phenolics of selected cranberry genotypes (Vaccinium macrocarpon Ait.) and their antioxidant efficacy. J. Agric. Food Chem. 2016, 64, 9342–9351. [Google Scholar] [CrossRef]
  69. Yasuda, T.; Fukui, M.; Nakazawa, T.; Hoshikawa, A.; Ohsawa, K. Metabolic Fate of Fraxin Administered Orally to Rats. J. Nat. Prod. 2006, 69, 755–757. [Google Scholar] [CrossRef] [PubMed]
  70. Wang, H.; Xiao, B.; Hao, Z.; Sun, Z. Simultaneous determination of fraxin and its metabolite, fraxetin, in rat plasma by liquid chromatography-tandem mass spectrometry and its application in a pharmacokinetic study. J. Chromatogr. B 2016, 1017, 70–74. [Google Scholar] [CrossRef] [PubMed]
  71. Wang, Z.; Zhu, W.; Liu, H.; Wu, G.; Song, M.; Yang, B.; Yang, D.; Wang, Q.; Kuang, H. Simultaneous Determination of Aesculin, Aesculetin, Fraxetin, Fraxin and Polydatin in Beagle Dog Plasma by UPLC-ESI-MS/MS and Its Application in a Pharmacokinetic Study after Oral Administration Extracts of Ledum palustre L. Molecules 2018, 23, 2285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Fan, Z.; Wang, Y.; Yang, M.; Cao, J.; Khan, A.; Cheng, G. UHPLC-ESI-HRMS/MS analysis on phenolic compositions of different E Se tea extracts and their antioxidant and cytoprotective activities. Food Chem. 2020, 318, 126512. [Google Scholar] [CrossRef]
  73. Sun, J.; Liang, F.; Bin, Y.; Li, P.; Duan, C. Screening non-colored phenolics in red wines using liquid chromatography/ultraviolet and mass spectrometry/mass spectrometry libraries. Molecules 2007, 12, 679–693. [Google Scholar] [CrossRef] [Green Version]
  74. Sharma, S.; Pandey, A.K.; Singh, K.; Upadhyay, S.K. Molecular characterization and global expression analysis of lectin receptor kinases in bread wheat (Triticum aestivum). PLoS ONE 2016, 11, e0153925. [Google Scholar]
  75. Schoedl, K.; Forneck, A.; Sulyok, M.; Schuhmacher, R. Optimization, in-house validation, and application of a liquid chromatography–tandem mass spectrometry (LC–MS/MS)-based method for the quantification of selected polyphenolic compounds in leaves of grapevine (Vitis vinifera L.). J. Agric. Food Chem. 2011, 59, 10787–10794. [Google Scholar] [CrossRef]
  76. De Rosso, M.; Panighel, A.; Vedova, A.D.; Gardiman, M.; Flamini, R. Characterization of Non-Anthocyanic Flavonoids in Some Hybrid Red Grape Extracts Potentially Interesting for Industrial Uses. Molecules 2015, 20, 18095–18106. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Paudel, L.; Wyzgoski, F.J.; Scheerens, J.C.; Chanon, A.M.; Reese, R.N.; Smiljanic, D.; Wesdemiotis, C.; Blakeslee, J.J.; Riedl, K.M.; Rinaldi, P.L. Nonanthocyanin secondary metabolites of black raspberry (Rubus occidentalis L.) fruits: Identification by HPLC-DAD, NMR, HPLC-ESI-MS, and ESI-MS/MS analyses. J. Agric. Food Chem. 2013, 61, 12032–12043. [Google Scholar] [CrossRef] [PubMed]
  78. Bodalska, A.; Kowalczyk, A.; Włodarczyk, M.; Fecka, I. Analysis of Polyphenolic Composition of a Herbal Medicinal Product—Peppermint Tincture. Molecules 2020, 25, 69. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Wojakowska, A.; Piasecka, A.; García-López, P.M.; Zamora-Natera, F.; Krajewski, P.; Marczak, Ł.; Kachlicki, P.; Stobiecki, M. Structural analysis and profiling of phenolic secondary metabolites of Mexican lupine species using LC–MS techniques. Phytochemistry 2013, 92, 71–86. [Google Scholar] [CrossRef] [PubMed]
  80. Fischer, U.A.; Carle, R.; Kammerer, D.R. Identification and quantification of phenolic compounds from pomegranate (Punica granatum L.) peel, mesocarp, aril and differently produced juices by HPLC-DAD–ESI/MSn. Food Chem. 2011, 127, 807–821. [Google Scholar] [CrossRef]
  81. Xu, L.-L.; Xu, J.-J.; Zhong, K.-R.; Shang, Z.-P.; Wang, F.; Wang, R.-F.; Zhang, L.; Zhang, J.-Y.; Liu, B. Analysis of non-volatile chemical constituents of Menthae Haplocalycis herba by ultra-high performance liquid chromatography-high resolution mass spectrometry. Molecules 2017, 22, 1756. [Google Scholar] [CrossRef] [Green Version]
  82. Di Loreto, A.; Bosi, S.; Montero, L.; Bregola, V.; Marotti, I.; Sferrazza, R.E.; Dinelli, G.; Herrero, M.; Cifuentes, A. Determination of phenolic compounds in ancient and modern durum wheat genotypes. Electrophoresis 2018, 39, 2001–2010. [Google Scholar] [CrossRef]
  83. Zhang, Z.; Jia, P.; Zhang, X.; Zhang, Q.; Yang, H.; Shi, H.; Zhang, L. LC–MS/MS determination and pharmacokinetic study of seven flavonoids in rat plasma after oral administration of Cirsium japonicum DC. extract. J. Ethnopharmacol. 2014, 158, 66–75. [Google Scholar] [CrossRef]
  84. Jaiswal, R.; Müller, H.; Müller, A.; Karar, M.G.E.; Kuhnert, N. Identification and characterization of chlorogenic acids, chlorogenic acid glycosides and flavonoids from Lonicera henryi L. (Caprifoliaceae) leaves by LC–MSn. Phytochemistry 2014, 108, 252–263. [Google Scholar] [CrossRef]
  85. Gordon, A.; Schadow, B.; Quijano, C.E.; Marx, F. Chemical characterization and antioxidant capacity of berries from Clidemia rubra (Aubl.) Mart. (Melastomataceae). Food Res. Int. 2011, 44, 2120–2127. [Google Scholar] [CrossRef]
  86. Abu-Reidah, I.M.; Ali-Shtayeh, M.S.; Jamous, R.M.; Arráez-Román, D.; Segura-Carretero, A. HPLC–DAD–ESI-MS/MS screening of bioactive components from Rhus coriaria L. (Sumac) fruits. Food Chem. 2015, 166, 179–191. [Google Scholar] [CrossRef] [Green Version]
  87. Vieira, M.N.; Winterhalter, P.; Jerz, G. Flavonoids from the flowers of Impatiens glandulifera Royle isolated by high performance countercurrent chromatography. Phytochem. Anal. 2016, 27, 116–125. [Google Scholar] [CrossRef]
  88. Xu, X.; Yang, B.; Wang, D.; Zhu, Y.; Miao, X.; Yang, W. The Chemical Composition of Brazilian Green Propolis and Its Protective Effects on Mouse Aortic Endothelial Cells against Inflammatory Injury. Molecules 2020, 25, 4612. [Google Scholar] [CrossRef]
  89. Xiao, J.; Wang, T.; Li, P.; Liu, R.; Li, Q.; Bi, K. Development of two step liquid–liquid extraction tandem UHPLC–MS/MS method for the simultaneous determination of Ginkgo flavonoids, terpene lactones and nimodipine in rat plasma: Application to the pharmacokinetic study of the combination of Ginkgo biloba dispersible tablets and Nimodipine tablets. J. Chromatogr. B 2016, 1028, 33–41. [Google Scholar]
  90. Zhou, J.-M.; Gold, N.D.; Martin, V.J.; Wollenweber, E.; Ibrahim, R.K. Sequential O-methylation of tricetin by a single gene product in wheat. Biochim. Biophys. Acta (BBA)-Gen. Subj. 2006, 1760, 1115–1124. [Google Scholar] [CrossRef]
  91. Sun, J.; Liu, X.; Yang, T.; Slovin, J.; Chen, P. Profiling polyphenols of two diploid strawberry (Fragaria vesca) inbred lines using UHPLC-HRMSn. Food Chem. 2014, 146, 289–298. [Google Scholar] [CrossRef] [Green Version]
  92. Jiang, R.-W.; Lau, K.-M.; Hon, P.-M.; Mak, T.C.; Woo, K.-S.; Fung, K.-P. Chemistry and biological activities of caffeic acid derivatives from Salvia miltiorrhiza. Curr. Med. Chem. 2005, 12, 237–246. [Google Scholar] [CrossRef]
  93. Eklund, P.C.; Backman, M.J.; Kronberg, L.Å.; Smeds, A.I.; Sjöholm, R.E. Identification of lignans by liquid chromatography-electrospray ionization ion-trap mass spectrometry. J. Mass Spectrom. 2008, 43, 97–107. [Google Scholar] [CrossRef] [PubMed]
  94. Lang, R.; Dieminger, N.; Beusch, A.; Lee, Y.-M.; Dunkel, A.; Suess, B.; Skurk, T.; Wahl, A.; Hauner, H.; Hofmann, T. Bioappearance and pharmacokinetics of bioactives upon coffee consumption. Anal. Bioanal. Chem. 2013, 405, 8487–8503. [Google Scholar] [CrossRef] [PubMed]
  95. Piccolella, S.; Crescente, G.; Volpe, M.G.; Paolucci, M.; Pacifico, S. UHPLC-HR-MS/MS-Guided recovery of bioactive flavonol compounds from greco di tufo vine leaves. Molecules 2019, 24, 3630. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Simard, F.; Legault, J.; Lavoie, S.; Mshvildadze, V.; Pichette, A. Isolation and identification of cytotoxic compounds from the wood of Pinus resinosa. Phytother. Res. 2008, 22, 919–922. [Google Scholar] [CrossRef] [PubMed]
  97. Rodríguez-Pérez, C.; Gómez-Caravaca, A.M.; Guerra-Hernández, E.; Cerretani, L.; García-Villanova, B.; Verardo, V. Comprehensive metabolite profiling of Solanum tuberosum L. (potato) leaves by HPLC-ESI-QTOF-MS. Food Res. Int. 2018, 112, 390–399. [Google Scholar] [CrossRef] [PubMed]
  98. Yang, S.; Wu, X.; Rui, W.; Guo, J.; Feng, Y. UPLC/Q-TOF-MS analysis for identification of hydrophilic phenolics and lipophilic diterpenoids from Radix Salviae Miltiorrhizae. Acta Chromatogr. 2015, 27, 711–728. [Google Scholar] [CrossRef] [Green Version]
  99. Hou, S.; Zhu, J.; Ding, M.; Lv, G. Simultaneous determination of gibberellic acid, indole-3-acetic acid and abscisic acid in wheat extracts by solid-phase extraction and liquid chromatography–electrospray tandem mass spectrometry. Talanta 2008, 76, 798–802. [Google Scholar] [CrossRef] [PubMed]
  100. Chen, X.; Zhu, P.; Liu, B.; Wei, L.; Xu, Y. Simultaneous determination of fourteen compounds of Hedyotis diffusa Willd extract in rats by UHPLC–MS/MS method: Application to pharmacokinetics and tissue distribution study. J. Pharm. Biomed. Anal. 2018, 159, 490–512. [Google Scholar] [CrossRef] [PubMed]
  101. Toh, T.; Prior, B.; Van der Merwe, M. Quantification of plasma membrane ergosterol of Saccharomyces cerevisiae by direct-injection atmospheric pressure chemical ionization/tandem mass spectrometry. Anal. Biochem. 2001, 288, 44–51. [Google Scholar] [CrossRef]
  102. Sun, S.; Gao, Y.; Ling, X.; Lou, H. The combination effects of phenolic compounds and fluconazole on the formation of ergosterol in Candida albicans determined by high-performance liquid chromatography/tandem mass spectrometry. Anal. Mol. 2005, 336, 39–45. [Google Scholar] [CrossRef]
  103. Cai, Z.; Wang, C.; Zou, L.; Liu, X.; Chen, J.; Tan, M.; Mei, Y.; Wei, L. Comparison of Multiple Bioactive Constituents in the Flower and the Caulis of Lonicera japonica Based on UFLC-QTRAP-MS/MS Combined with Multivariate Statistical Analysis. Molecules 2019, 24, 1936. [Google Scholar] [CrossRef] [Green Version]
  104. Perchuk, I.; Shelenga, T.; Gurkina, M.; Miroshnichenko, E.; Burlyaeva, M. Composition of Primary and Secondary Metabolite Compounds in Seeds and Pods of Asparagus Bean (Vigna unguiculata (L.) Walp.) from China. Molecules 2020, 25, 3778. [Google Scholar] [CrossRef]
  105. Mittal, J.; Sharma, M.M. Enhanced production of berberine in In vitro regenerated cell of Tinospora cordifolia and its analysis through LCMS QToF. 3 Biotech 2017, 7, 25. [Google Scholar] [CrossRef] [Green Version]
  106. Xie, J.; Ding, C.; Ge, Q.; Zhou, Z.; Zhi, X. Simultaneous determination of ginkgolides A, B, C and bilobalide in plasma by LC–MS/MS and its application to the pharmacokinetic study of Ginkgo biloba extract in rats. J. Chromatogr. B 2008, 864, 87–94. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Diversity of colors among the analyzed wheat lines (having anthocyanin-rich grains). (A) The grains of the wheat lines used in this study: control line Saratovskaya 29 (S29) (1) in the upper left-hand corner and next in clockwise order S29 BLACK (4Th-4B) (2), S29 BLACK (4Th-4D) (3), S29 BLUE (4Th-4D) (4), BW BLACK (4Th-4D) (5), S29 BLUE (4Th-4B) (6), and E22 BLACK (4Th-4D) (7). (B) Grains of S29 BLUE (4Th-4B).
Figure 1. Diversity of colors among the analyzed wheat lines (having anthocyanin-rich grains). (A) The grains of the wheat lines used in this study: control line Saratovskaya 29 (S29) (1) in the upper left-hand corner and next in clockwise order S29 BLACK (4Th-4B) (2), S29 BLACK (4Th-4D) (3), S29 BLUE (4Th-4D) (4), BW BLACK (4Th-4D) (5), S29 BLUE (4Th-4B) (6), and E22 BLACK (4Th-4D) (7). (B) Grains of S29 BLUE (4Th-4B).
Molecules 26 05580 g001
Figure 2. Chemical profiles of the BW BLACK (4Th-4D) sample presented as a total ion chromatogram from the EtOH extract.
Figure 2. Chemical profiles of the BW BLACK (4Th-4D) sample presented as a total ion chromatogram from the EtOH extract.
Molecules 26 05580 g002
Figure 3. The number of the phenolic (red) and non-phenolic (green) compounds that were detected in the differently colored grains of the seven wheat lines. Error bars denote standard deviation; the number of individual compounds and its proportion among all the annotated compounds (125) are shown above the bars. * A significant difference from the control line.
Figure 3. The number of the phenolic (red) and non-phenolic (green) compounds that were detected in the differently colored grains of the seven wheat lines. Error bars denote standard deviation; the number of individual compounds and its proportion among all the annotated compounds (125) are shown above the bars. * A significant difference from the control line.
Molecules 26 05580 g003
Figure 4. This tree was constructed by the unweighted pair group method with arithmetic mean (UPGMA) (based on Euclidean distances) from the data on 125 phenolic and nonphenolic substances of the seven T. aestivum lines.
Figure 4. This tree was constructed by the unweighted pair group method with arithmetic mean (UPGMA) (based on Euclidean distances) from the data on 125 phenolic and nonphenolic substances of the seven T. aestivum lines.
Molecules 26 05580 g004
Figure 5. Assessment of the contributions of unique substances to the total pool of phenolic and nonphenolic compounds in the seven lines of T. aestivum.
Figure 5. Assessment of the contributions of unique substances to the total pool of phenolic and nonphenolic compounds in the seven lines of T. aestivum.
Molecules 26 05580 g005
Figure 6. Effects of the factors “Chromosome Substitution” and “Grain Color” on diversity of chemicals in wheat grain assessed in groups of lines combined based on grain color (A) and substituted chromosomes (B), respectively, according to two-way ANOVA (Fisher’s F test). Vertical bars denote 0.95 confidence intervals.
Figure 6. Effects of the factors “Chromosome Substitution” and “Grain Color” on diversity of chemicals in wheat grain assessed in groups of lines combined based on grain color (A) and substituted chromosomes (B), respectively, according to two-way ANOVA (Fisher’s F test). Vertical bars denote 0.95 confidence intervals.
Molecules 26 05580 g006
Figure 7. A collision-induced dissociation spectrum of apigenin 2″-O-sinapoyl, C-hexosyl, C-pentosyl from extracts of T. aestivum grains, m/z 768.98.
Figure 7. A collision-induced dissociation spectrum of apigenin 2″-O-sinapoyl, C-hexosyl, C-pentosyl from extracts of T. aestivum grains, m/z 768.98.
Molecules 26 05580 g007
Table 1. A detailed table of the biologically active substances found in the analyzed colored-grain lines of the wheat T. aestivum. Different color marks the presence of certain compounds in particular lines.
Table 1. A detailed table of the biologically active substances found in the analyzed colored-grain lines of the wheat T. aestivum. Different color marks the presence of certain compounds in particular lines.
IDClasses and Families of CompoundsNameS29 ControlS29 BLUE 4Th-4BS29 BLUE 4Th-4DS29 BLACK 4Th-4BS29 BLACK 4Th-4DE22 BLACK 4Th-4DBW BLACK 4Th-4D
Phenolics
1AnthocyaninCyanidin 3-(2″-galloylglucoside) yes
2 Cyanidin-3-O-3″,6″-O-Dimalonylglucoside yes yes yes
3 Cyanidin-3-O-glucoside yes
4 Malvidin 3-O-rutinoside yes
5 Malvidin 3-O-rutinoside-5-O-glucoside yesyes
6 Peonidin 3-O-rutinoside yes yes
7 Peonidin 3-rutinoside-5-glucoside yes
8 Peonidin-3-O-glucoside yes yes
9 Petunidinyes yes
10 Petunidin 3-O-rutinoside-5-O-glucoside yesyes
11Cinnamic acid derivativeFerulic acid methyl ester yes
12Hydroxycinnamic acid1-Caffeoyl-β-d-glucose yes
13 1-O-Sinapoyl-β-d-glucose yes
14 Caffeic acid derivative yes yes
15 Caftaric acid yesyes yesyes
16 Chlorogenic acid yes
17 Ferulic acidyes yesyes
18CoumarinFraxetin yes
19 Fraxetin-7-O-sulfate yes
20Dihydrochalcone Phlorizin yes
21Flavan-3-olCatechin [d-Catechol] yes yes
22 Epicatechin yes
23 Gallocatechin [+(-)Gallocatechin] yes yes
24FlavanoneNaringenin [Naringetol; Naringenine] yesyes yesyes
25Flavone6-C-hexosyl-chrysoeriol O-rhamnoside-O-hexosideyesyes yesyesyes
26 Acacetin C-glucoside methyl malonylated yes
27 Apigenin yes yes yes
28 Apigenin 2″-O-sinapoyl, C-hexosyl, C-pentosyl yesyes
29 Apigenin 6,8-di-C-pentoside yesyesyesyes
30 Apigenin 6-C-deoxyhexoside-8-C-pentoside yes yes
31 Apigenin-6-C-β-galactosyl-8-C-β-glycosyl-O-glycuronopyranoside yes
32 Apigenin 8-C-hexoside-6-C-pentosideyesyesyesyesyesyesyes
33 Apigenin 8-C-pentoside-6-C-hexoside yesyesyesyesyes
34 Chrysoeriol [Chryseriol] yesyesyesyesyesyes
35 Chrysoeriol C-hexoside-C-pentoside yes yes
36 Cirsiliolyes
37 Dihydroxy tetramethoxyflavone yes
38 Diosmetin yes
39 Genistein C-glucosyl glucoside yes
40 Hydroxy dimethoxyflavone hexoside yes
41 Luteolin yes
42 Luteolin 8-C-Glucoside yes
43 Luteolin 8-C-hexoside-6-C-pentoside yes
44 Luteolin 8-C-pentoside-6-C-hexoside yesyesyesyes
45 Myricetin yes
46 Orientin 7-O-deoxyhexoside [Luteolin 8-C-glucoside 7-O-deoxyhexoside] yes
47 Pentahydroxy dimethoxyflavoneyes
48 Pentahydroxy dimethoxyflavone hexosideyes yes
49 Pentahydroxy trimethoxy flavoneyes yesyesyesyes
50 Tricin yesyesyesyesyesyes
51 Tetrahydroxy-dimethoxyflavone-hexoside yes
52 Trihydroxy methoxyflavone triacetate yes
53 Vicenin-2 [Apigenin-6,8-Di-C-Glucoside] yesyes
54 Vitexin 2″-O-glucoside [Apigenin 8-C-glucoside 2″-O-glucoside] yes yes
55 Vitexin 6″-O-glucoside [Apigenin 8-C-glucoside 6″-O-glucoside] yesyes
56 Wighteone-O-glucoside yes
57FlavonolAmpelopsin yes
58 Isorhamnetin yesyesyes
59 Kaempferide yes
60 Kaempferol yesyes
61 Quercetin yes
62 Rhamnetin I yes
63 Rhamnetin II yesyes
64 Selgin yes yes
65 Taxifolin-3-O-glucoside yesyesyes yes
66 Taxifolin-O-pentoside yesyesyes
67Gallotanninβ-Glucogallin [1-O-Galloyl-β-d-Glucose]yesyesyes yesyes
68Hydroxybenzoic acid4-Hydroxybenzoic acid yes
69 Cis-salvianolic acid J yes yesyes
70 Hydroxy methoxy dimethylbenzoic acid yes yes
71 Salvianolic acid Dyesyesyesyes yesyes
72 Salvianolic acid F yes
73 Salvianolic acid G yes yesyes
74LignanDimethyl-secoisolariciresinol yes
75 Hinokinin yesyesyes yes
76 Pinoresinol yes
77 Podophyllotoxin [Podofilox; Condylox; Condyline; Podophyllinic acid lactone] yes
78 Syringaresinolyesyesyes yes yes
79Phenolic acid1-O-caffeoyl-5-O-feruloylquinic acid yesyesyesyes
80 4-O-Caffeoyl-5-O-p-coumaroylquinic acid yes
81 Feruloyl sulfate yes
82Phenolic glucosideGallic acid hexosideyes
83StilbenePinosylvin yes
84 Polydatin [Piceid; trans-Piceid] yes
85 Resveratrol yes
Others
86Alpha, omega-dicarboxylic acidUndecanedioic acid yes yes
87Carboxylic acidMyristoleic acid [Cis-9-Tetradecanoic acid] yesyesyes yesyes
88Higher-molecular-weight carboxylic acid11-Hydroperoxy-octadecatrienoic acid yes
89 9,10-Dihydroxy-8-oxooctadec-12-enoic acid yesyesyes
90 Dihydroxy docosanoic acid yesyesyesyesyesyes
91 Docosenoic acid [2-Docosenoic acid] yes
92 Hydroxy methoxy dimethylbenzoic acid yes
93 Pentacosenoic acidyesyesyesyesyesyesyes
94 Salvianic acid C yesyesyes yes
95Anabolic steroidVebonol yesyes yes yes
96Cycloartanol [Steroids]Cyclopassifloic acid glucoside yes yes
97Carotenoid(3S, 3′S, all-E)-zeaxanthin [Zeaxanthin; (3S,3′S)-Zeaxanthin] yesyes yesyes
98 Cryptoxanthin [β-cryptoxanthin] yes yes
99DiterpenoidIsocryptotanshinone II yesyes
100 Tanshinone IIB yes
101Pentacyclic diterpenoidβ-Amyrin [β-Amyrenol; Amyrin] yes
102 Gibberellic acid yes
103Triterpenic acidBetunolic acid yes
104 Ursolic acid yes
105TriterpenoidSqualene yes
106 Uvaol yes
107Essential amino acidl-Histidine yes yes
108 l-Tryptophan [Tryptophan; (S)-Tryptophan]yesyesyesyesyesyes
109 l-Valine yes
110Nonessential amino acidTyrosineyes
111Indole sesquiterpene alkaloidSespendole yes yes
112Isoquinoline alkaloidBerberine [Berberin; Umbelletine; Berbericine] yes yes
113PhytohormoneGA8-hexose gibberellinyesyesyes yes yes
114Sesquiterpenoid plant hormoneAbscisic acid [Dormin; Abscisin II; (S)-(+)-Abscisic acid] yes yes
115Propionic acidKetoprofen [Orudis; 2-(3-Benzoylphenyl)Propionic acid] yesyesyes yes
116PurineAdenosine yesyes yes
117PhytosterolErgosterol [Provitamin D2; Ergosterin]yesyesyesyesyesyesyes
118SterolAvenasterolyesyesyesyesyesyesyes
119 β-Sitostenone [Stigmast-4-En-3-One; Sitostenone] yes yesyes
120 β-Sitosterin [β-Sitosterol] yes yesyes
121 Campestenone yesyesyesyes yes
122 Fucosterol yes yes yes
123 Oxo-hydroxy sitosterol yes
124Thromboxane receptor antagonistVapiprost yesyes
125Unsaturated fatty acidHexadecatrienoic acid [Hexadeca-2,4,6-trienoic acid] yes
Table 2. Effects of various factors on the diversity of phenolic and nonphenolic compounds in the seven wheat lines according to the Kruskal-Wallis H test (i.e., one-way ANOVA on ranks; df: degrees of freedom).
Table 2. Effects of various factors on the diversity of phenolic and nonphenolic compounds in the seven wheat lines according to the Kruskal-Wallis H test (i.e., one-way ANOVA on ranks; df: degrees of freedom).
FactorGroupGroup SizedfSum of RanksMean RankH Criterionp ValueSignificant Result
Chromosome Substitution4Th-4B22111,625.0446.523.58 0.00001yes
4Th-4D4227,187.5454.4
Control144,437.5355.5
Genotype of Parental Line/CultivarBW1257,562.5460.52.260.322no
E22152,750.0422.0
S295272,937.5436.7
Grain ColorBlack grains42443.8750443.825.520.00001yes
Blue grains2 116,875.0467.5
Control1 44,437.5355.5
Genotype of LineS29 BLUE (4Th-4B)1660,625.0485.038.290.00001yes
S29 BLUE (4Th-4D)156,250.0450.0
S29 BLACK (4Th-4B)151,000.0408.0
S29 BLACK (4Th-4D)160,625.0485.0
E22 BLACK (4Th-4D)157,562.5460.5
BW BLACK (4Th-4D)152,750.0422.0
Control144,437.5355.5
Table 3. Genetic characteristics of the wheat lines used in this study.
Table 3. Genetic characteristics of the wheat lines used in this study.
GenotypeRecurrent ParentGrain ColorBaPp-D1 + Pp3Substituted Chromosome References
S29 BLUE(4Th-4D)S29blue+-4D[25]
S29 BLUE(4Th-4B)S29blue+-4B[26]
S29 BLACK(4Th-4B)S29black++4B
S29 BLACK(4Th-4D)S29black++4D
BW BLACK(4Th-4D)BW49880black++4DFigure S2
E22 BLACK(4Th-4D)Element 22black++4D
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Razgonova, M.P.; Zakharenko, A.M.; Gordeeva, E.I.; Shoeva, O.Y.; Antonova, E.V.; Pikula, K.S.; Koval, L.A.; Khlestkina, E.K.; Golokhvast, K.S. Phytochemical Analysis of Phenolics, Sterols, and Terpenes in Colored Wheat Grains by Liquid Chromatography with Tandem Mass Spectrometry. Molecules 2021, 26, 5580. https://doi.org/10.3390/molecules26185580

AMA Style

Razgonova MP, Zakharenko AM, Gordeeva EI, Shoeva OY, Antonova EV, Pikula KS, Koval LA, Khlestkina EK, Golokhvast KS. Phytochemical Analysis of Phenolics, Sterols, and Terpenes in Colored Wheat Grains by Liquid Chromatography with Tandem Mass Spectrometry. Molecules. 2021; 26(18):5580. https://doi.org/10.3390/molecules26185580

Chicago/Turabian Style

Razgonova, Mayya P., Alexander M. Zakharenko, Elena I. Gordeeva, Olesya Yu. Shoeva, Elena V. Antonova, Konstantin S. Pikula, Liudmila A. Koval, Elena K. Khlestkina, and Kirill S. Golokhvast. 2021. "Phytochemical Analysis of Phenolics, Sterols, and Terpenes in Colored Wheat Grains by Liquid Chromatography with Tandem Mass Spectrometry" Molecules 26, no. 18: 5580. https://doi.org/10.3390/molecules26185580

Article Metrics

Back to TopTop